HCSGD entry for RPS6KA3

1. General information

Official gene symbolRPS6KA3
Entrez ID6197
Gene full nameribosomal protein S6 kinase, 90kDa, polypeptide 3
Other gene symbolsCLS HU-3 ISPK-1 MAPKAPK1B MRX19 RSK RSK2 S6K-alpha3 p90-RSK2 pp90RSK2
Links to Entrez GeneLinks to Entrez Gene

2. Neighbors in the network

color bar
This gene isn't in PPI subnetwork.

3. Gene ontology annotation

GO ID

GO term

Evidence

Category

GO:0000287Magnesium ion bindingIEAmolecular_function
GO:0001501Skeletal system developmentTASbiological_process
GO:0002224Toll-like receptor signaling pathwayIEA ISS TASbiological_process
GO:0002755MyD88-dependent toll-like receptor signaling pathwayTASbiological_process
GO:0002756MyD88-independent toll-like receptor signaling pathwayTASbiological_process
GO:0004672Protein kinase activityTASmolecular_function
GO:0004674Protein serine/threonine kinase activityIEAmolecular_function
GO:0005524ATP bindingIEAmolecular_function
GO:0005654NucleoplasmTAScellular_component
GO:0005829CytosolTAScellular_component
GO:0005840RibosomeIEAcellular_component
GO:0007049Cell cycleIEAbiological_process
GO:0007165Signal transductionTASbiological_process
GO:0007268Synaptic transmissionTASbiological_process
GO:0007411Axon guidanceTASbiological_process
GO:0007417Central nervous system developmentTASbiological_process
GO:0019901Protein kinase bindingIEAmolecular_function
GO:0030307Positive regulation of cell growthTASbiological_process
GO:0032496Response to lipopolysaccharideIEA ISSbiological_process
GO:0034134Toll-like receptor 2 signaling pathwayTASbiological_process
GO:0034138Toll-like receptor 3 signaling pathwayTASbiological_process
GO:0034142Toll-like receptor 4 signaling pathwayTASbiological_process
GO:0034146Toll-like receptor 5 signaling pathwayTASbiological_process
GO:0034162Toll-like receptor 9 signaling pathwayTASbiological_process
GO:0034166Toll-like receptor 10 signaling pathwayTASbiological_process
GO:0035666TRIF-dependent toll-like receptor signaling pathwayTASbiological_process
GO:0038123Toll-like receptor TLR1:TLR2 signaling pathwayTASbiological_process
GO:0038124Toll-like receptor TLR6:TLR2 signaling pathwayTASbiological_process
GO:0043027Cysteine-type endopeptidase inhibitor activity involved in apoptotic processIDAmolecular_function
GO:0043066Negative regulation of apoptotic processTASbiological_process
GO:0043154Negative regulation of cysteine-type endopeptidase activity involved in apoptotic processIDAbiological_process
GO:0043555Regulation of translation in response to stressTASbiological_process
GO:0043620Regulation of DNA-templated transcription in response to stressTASbiological_process
GO:0045087Innate immune responseTASbiological_process
GO:0045597Positive regulation of cell differentiationTASbiological_process
GO:0045944Positive regulation of transcription from RNA polymerase II promoterIMPbiological_process
GO:0048011Neurotrophin TRK receptor signaling pathwayTASbiological_process
GO:0051403Stress-activated MAPK cascadeTASbiological_process
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4. Expression levels in datasets

  • Meta-analysis result

p-value upp-value downFDR upFDR down
0.00736294210.58625099730.22473194441.0000000000

  • Individual experiment result
    ( "-" represent NA in the specific microarray platform )

Data sourceUp or downLog fold change
GSE11954Up0.1432424869
GSE13712_SHEARDown-0.0315552754
GSE13712_STATICDown-0.1008102548
GSE19018Down-0.8181564115
GSE19899_A1Up1.0619107043
GSE19899_A2Up0.8108887960
PubMed_21979375_A1Up1.8746017248
PubMed_21979375_A2Up1.3822488221
GSE35957Up0.1312367886
GSE36640Down-0.0968383230
GSE54402Up1.1608371818
GSE9593Up0.0187230526
GSE43922Up0.7830018285
GSE24585Down-0.5913315034
GSE37065Up0.2790195543
GSE28863_A1Up0.6196553208
GSE28863_A2Up0.4135484511
GSE28863_A3Down-0.7277176819
GSE28863_A4Up0.1166762736
GSE48662Down-0.1033013458

5. Regulation relationships with compounds/drugs/microRNAs

  • Compounds

Not regulated by compounds

  • Drugs

Name

Drug

Accession number

  • MicroRNAs

    • mirTarBase

MiRNA_name

mirBase ID

miRTarBase ID

Experiment

Support type

References (Pubmed ID)

hsa-miR-21-5pMIMAT0000076MIRT030861MicroarrayFunctional MTI (Weak)18591254
hsa-miR-16-5pMIMAT0000069MIRT031564MicroarrayFunctional MTI (Weak)21199864
hsa-miR-1296-5pMIMAT0005794MIRT036103CLASHFunctional MTI (Weak)23622248
hsa-miR-503-5pMIMAT0002874MIRT041136CLASHFunctional MTI (Weak)23622248
hsa-miR-320aMIMAT0000510MIRT044599CLASHFunctional MTI (Weak)23622248
hsa-miR-29a-3pMIMAT0000086MIRT049971CLASHFunctional MTI (Weak)23622248
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    • mirRecord
No target information from mirRecord

6. Text-mining results about the gene

Gene occurances in abstracts of cellular senescence-associated articles: 5 abstracts the gene occurs.


PubMed ID of the article

Sentenece the gene occurs

27125759We have compared results from published genome-wide, chronological lifespan (CLS) screens of individual gene deletion strains in Saccharomyces cerevisiae in order to identify gene deletion strains with consistent influences on longevity as possible indicators of fundamental aging processes from this single-celled, eukaryotic model organism
27125759We performed a comparison among the data sets using correlation and decile distribution analysis to describe concordance between screens and identify strains that consistently increased or decreased CLS
27125759We attempted to replicate the different experimental conditions employed by the screens to identify potential sources of variability in CLS worth further investigating
27125759To test the hypothesis that different parental strain auxotrophic requirements or media formulations employed by the respective genome-wide screens might contribute to the lack of concordance, different CLS assay conditions were assessed in combination with strains having different ploidy and auxotrophic requirements (all relevant to differences in the way the three genome-wide CLS screens were performed)
27125759This limited but systematic analysis of CLS with respect to auxotrophy, ploidy, and media revealed several instances of gene-nutrient interaction
27125759CONCLUSIONS: There is surprisingly little overlap between the results of three independently performed genome-wide screens of CLS in S
27125759Considering the lack of overlap in CLS phenotypes among the set of genes reported by all three screens, and the results of a CLS experiment that systematically tested (incorporating extensive controls) for interactions between variables existing between the screens, we propose that discrepancies can be reconciled through deeper understanding of the influence of cell intrinsic factors such as auxotrophic requirements ploidy status, extrinsic factors such as media composition and aeration, as well as interactions that may occur between them, for example as a result of different pooling vs
27125759Such factors may have a more significant impact on CLS outcomes than previously realized
27125759Future studies that systematically account for these contextual factors, and can thus clarify the interactions between genetic and nutrient factors that alter CLS phenotypes, should aid more complete understanding of the underlying biology so that genetic principles of CLS in yeast can be extrapolated to differential cellular aging observed in animal models
25452419Chronological lifespan (CLS) has been studied in stationary-phase yeast cells depleted for glucose, which only survive for a few days
25452419Here, we analyzed CLS in quiescent S
25452419We independently verified the extended CLS in individual assays for 30 selected mutants, showing the efficacy of the screen
25452419Unlike for stationary-phase cells, no inverse correlation between growth and CLS of quiescent cells was evident
24841311Chronological life-span (CLS) measures the length of time nondividing cells survive
24841311Here, we describe methods used to measure yeast RLS and CLS
21736893Yeast chronological life span (CLS) is defined as the capacity of stationary cultures to maintain viability over time, thus mimicking the situation of post-mitotic cells in multicellular organisms
21736893This study describes the optimization and validation of a method based on the flow cytometric monitoring of propidium iodide (PI) uptake for assessing yeast cell death during CLS
21736893The method was validated by determining CLS of several strains used in yeast ageing research and by evaluating the effect of genetic disturbances known to extend or reduce yeast chronological life span
19306530Furthermore, a detailed atlas of fat depot-specific differences in adipocyte size and CLS prevalence has begun in two genetic models of mouse obesity
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